The Internet of Things (IoT) is a leading trend with numerous opportunities accompanied by advantages as well as disadvantages. Parallel with IoT development, significant privacy and personal data protection challenges are also growing. In this regard, the General Data Protection Regulation (GDPR) is often considered the world’s strongest set of data protection rules and has proven to be a catalyst for many countries around the world. The concepts and interaction of the data controller, the joint controllers, and the data processor play a key role in the implementation of the GDPR. Therefore, clarifying the blurred IoT actors’ relationships to determine corresponding responsibilities is necessary. Given the IoT transformation reflected in shifting computing power from cloud to the edge, in this research we have considered how these computing paradigms are affecting IoT actors. In this regard, we have introduced identification of IoT actors according to a new five-computing layer IoT model based on the cloud, fog, edge, mist, and dew computing. Our conclusion is that identifying IoT actors in the light of the corresponding IoT data manager roles could be useful in determining the responsibilities of IoT actors for their compliance with data protection and privacy rules.

Future denser air-ground vehicle networks (AGVNs) face challenges such as resource allocation, mobility management, secure transmission, and so on. At the same time, surveillance is a must for modern air traffic management. This motivates us to find opportunities in the aerial vertical by forming a conceptual surveillance plane for aerial vehicles. In this article, we propose an enhanced software-defined network architecture where the surveillance plane can provide local and global surveillance information to macro stations, acting as a side system for the communication links. We review air- ground communications and, by summarizing challenges and opportunities, propose the enhanced architecture of side-information-assisted networks in detail. We then present how we obtain, organize, manage, and utilize the local and global side information by a so-called aviation data lake (ADL). The data lake can be easily connected with advanced machine learning schemes and, thus, provide timely, context-aware metrics and predictions.

The main objective of this research was to propose a light and practical design solution for electric bike front drive with bottom bracket electric motor. The initial design needs to be redesigned so it can enable simultaneous use of the electric drive and pedal drive, with integration of the front gear shifter. After gathering the basic information linked to the problem and inspecting the initial design solution, the assets and flaws have been identified. The CAD models of the considered possible solutions were developed into FEM models which were used for structural analysis in CAD/CAE software system CATIA. On the basis of the FEM analysis and additional criteria, the optimal solution was chosen, and structural optimization, based on FEM model, was performed. A prototype was manufactured and a mounting process in a place of the initial design was performed. Afterwards, electric bike with mounted prototype was tested under real conditions.

Purpose Myasthenia gravis (MG) and amyotrophic lateral sclerosis (ALS) are two different diseases. The coexistence of both of them is extremely rare and represents a diagnostic challenge which requires thoughtful interpretation of clinical characteristics. Case report We present the case of a 46-year-old Bosnian male who developed ALS five months after MG. Diagnosis of MG was based on elevated titers of anti-AchR antibodies, positive edrophonium test, and decremental responses on a repetitive nerve stimulation test while the diagnosis of ALS was based on clinical and neurophysiological findings: upper motor neuron signs in the lumbar region, lower motor neuron signs in the bulbar and cervical regions, generalized fasciculations and muscle atrophy and progressive asymetric muscle weakness together with active and chronic denervation in the cervical and lumbosacral region determined by electromyoneurography. Conclusions The coexistence of MG and ALS is rare and request an adequate interpretation of clinical symptoms. The relationship between these two diseases in as interesting phenomen to present.

Neonatal screening (NBS) was initiated in Europe during the 1960s with the screening for phenylketonuria. The panel of screened disorders (“conditions”) then gradually expanded, with a boost in the late 1990s with the introduction of tandem mass spectrometry (MS/MS), making it possible to screen for 40–50 conditions using a single blood spot. The most recent additions to screening programmes (screening for cystic fibrosis, severe combined immunodeficiency and spinal muscular atrophy) were assisted by or realised through the introduction of molecular technologies. For this survey, we collected data from 51 European countries. We report the developments between 2010 and 2020 and highlight the achievements reached with the progress made in this period. We also identify areas where further progress can be made, mainly by exchanging knowledge and learning from experiences in neighbouring countries. Between 2010 and 2020, most NBS programmes in geographical Europe matured considerably, both in terms of methodology (modernised) and with regard to the panel of conditions screened (expanded). These developments indicate that more collaboration in Europe through European organisations is gaining momentum. We can only accomplish the timely detection of newborn infants potentially suffering from one of the many rare diseases and take appropriate action by working together.

Adopting AI as a technology that solves a particular problem (i.e., meets an architectural driver) is a significant architectural decision. Existing techniques for adequacy assessment of architectural decisions often fail to predict effects of adopting complex technologies such is AI. In this paper, we argue that the reason for this is that they fail to capture the level of knowledge that architects have about a complex technology that they aim to adopt, making the discussion about it difficult and adequacy check prone to mistakes. To solve these issues, we introduce an approach that instructs architects to decompose complex drivers for adopting new technologies according to properties of the technology, and to explicitly assess knowledge that architects have about each of those properties. In order to do so, we present a template that explicitly captures the level of knowledge that architects have about important AI properties, which serve as new requirements exposing the influence of adopting AI on software system. Through evaluation, we have demonstrated that our approach successfully complements existing adequacy assessment techniques and is able to expose influences of adopting new complex technologies on underlying software architecture.

Software development ecosystems vary significantly among different industrial domains. Therefore, it is challenging to establish quality assurance processes that can be deployed seamlessly to multiple domains. In this paper, we extend our previous work on performance and scalability assessment by identifying the architecture variability points in our PPTAM tooling infrastructure. The goal is to design a modifiable software architecture that enables low cost deployment of our performance and scalability assessment approach. We present the scalability assessment context, architecture modifiability, and lessons learned that were derived from our experience with scalability assessment in several business domains. Specifically, we describe our experience with the application of the proposed approach to a large complex telecom system at Ericsson.

In order to ensure a quality welded joint, and thus safe operation and high reliability of the welded part or structure achieved by friction stir welding, it is necessary to select the optimal welding parameters. The parameters of friction stir welding significantly affect the structure of the welded joint, and thus the mechanical properties of the welded joint. Investigation of the influence of friction stir welding parameters was performed on 6-mm thick plates of aluminum alloy AA2024 T351. The quality of the welded joint is predominantly influenced by the tool rotation speed n and the welding speed v. In this research, constant tool rotation speed was adopted n = 750 rpm, and the welding speed was varied (v = 73, 116 and 150 mm/min). By the visual method and radiographic examination, imperfections of the face and roots of the welded specimens were not found. This paper presents the performed experimental tests of the macro and microstructure of welded joints, followed by tests of micro hardness and fracture behavior of Friction Stir Welded AA2024-T351 joints. It can be concluded that the welding speed of v = 116 mm/min is favorable with regard to the fracture behavior of the analysed FSW-joint.

SUMMARY The aim of the study was to determine attitudes towards and habits in oral health of adolescents in Herzegovina, as well as to evaluate the possible differences in habits among individuals of different adolescent categories. The study included 120 participants (35 male and 85 female) divided into three adolescent categories, as follows: early (11-14 years of age), middle (15-18 years) and late (19-21 years) adolescence, from the Herzegovina-Neretva Canton, who presented for dental examination. All participants completed the socio-demographic questionnaire and standardized Hiroshima University Dental Behavioral Inventory (HU-DBI). The answers provided by study adolescents in the HU-DBI showed statistically significant differences among particular age groups, i.e. between early and middle adolescence in items 7 (p=0.046) and 15 (p=0.007); between middle and late adolescence in items 8 (p=0.021), 11 (p=0.04) and 12 (p=0.027); and between middle and late adolescence in item 11 (p=0.032). Respondents in middle adolescence had poorer oral hygiene attitudes than those in early and late adolescence. In order to improve the oral hygiene habits of adolescents in Herzegovina, it is necessary to put emphasis on continuous education about oral hygiene habits during their secondary education.

Background and Objectives: This paper aims to show whether obstructive sleep apnea (OSA) severity increases the level of systemic inflammation markers regardless of body mass index (BMI) and body composition. Materials and Methods: In total, 128 patients with OSA were included in the study. Examinees were divided into two groups: one with mild OSA (apnea–hypopnea index (AHI) < 15) and one with moderate and severe OSA (AHI ≥ 15). Nutritional status was assessed using body mass index, body composition by dual X-ray absorptiometry. Systemic inflammation was assessed on the basis of plasma concentrations of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and serum level of C-reactive protein (CRP). Results: We found elevated mean values of the evaluated systemic inflammation markers (CRP, TNF-α, IL-6) in a group with AHI ≥ 15, although there was no statistical significance. Our research found a significant positive correlation with BMI (r = 0.633, p < 0.001), as well as with body fat percentage (r = 0.450, p = 0.024) and serum CRP values. Significant correlation was found between the plasma IL-6 concentration and body fat percentage (FM%) (r = 0.579, p = 0.003) and lean body mass (r = −0.501, p = 0.013). Multivariate regression analysis did not show any independent predictor (parameters of OSA, nutritional status, body composition) of the systemic inflammation markers. Conclusions: Neither one tested parameter (nutritional status and body composition) of the severity of OSA was identified as an independent prognostic factor for the severity of systemic inflammation in patients with OSA.

Background: Atrial septal abnormalities are common congenital lesions remaining asymptomatic until adulthood in a great number of patients. The most frequent atrial septal defects in adults are ostium secundum atrial septal defect (ASD). Complications from untreated, hemodynamically significant ASD are atrial arrhythmia, paradoxical embolization, Eisenmenger’s syndrome, pulmonary hypertension, and right ventricular failure. Objective: We present a case report of secundum ASD in adult female patient who underwent transcatheter device closure with Amplatzer occluder. Methods and Results: The case of female Bosnian patient 50 years old who lives in Belgium for 20 years ago and during her visit to Bosnia she came to our polyclinic for cardiological exam. Echocardiographic exam showed enlargement of left atrium (LAD 51mm), right atrium and ventricle (RAD 46mm, RVd 33mm), atrial septal defect 9mm with left right shunt Qp:Qs 2,3:1. Several months later transcatheter device closure with Amplatzer occluder was performed and subsequent symptomatic improvement reported after closure. Conclusion: Echocardiography has superior role for precise evaluation of ASD type secundum who are suitable for transcatheter device closure as primary treatment option. Transcatheter techniques has now become preferable to surgical repair and provide valid option of treatment for this type of CHD.

SUMMARY Research background Numerous factors affect the ripening of reduced-fat white cheese. The aim of this study is to investigate the influence of ripening environment (brine or vacuum plastic bags without brine) on the chemical composition, protein, fatty acid profile and mineral content as well as antioxidant properties of industrially produced reduced-fat white cheese. Experimental approach A low-fat white cheese was manufactured on an industrial scale from milk that remained after the production of kajmak and ripened for 60 days at 4 °C after packaging in a polystyrene container with brine containing 6% salt or in vacuum-sealed polyethylene bags. The influence of ripening environment on proteolysis was monitored by the change of soluble nitrogen fractions as well as by sodium dodecyl sulphate–polyacrylamide gel electrophoresis of tris(hydroxymethyl) aminomethane-HCl extracts of cheese proteins under non-reducing conditions and water-soluble fractions under reducing conditions. An effect that ripening environment had on fatty acid and mineral content was also monitored. The change of antioxidant potential of the investigated cheese during ripening led to the change of iron(II) chelating ability, reducing power and free-radical scavenging activity. Results and conclusions The ripening environment differently affected proteolysis, fatty acid composition, mineral profile and antioxidant properties of reduced-fat white cheese. White cheese ripened in brine had more intensive proteolytic changes than the cheese ripened in a vacuum, but also more intensive diffusion processes, especially between the 40th and 60th day of ripening. The brine-ripened cheese had higher values of water-soluble nitrogen content, but lower contents of trichloroacetic acid-soluble and phosphotungstic acid-soluble nitrogen than the vacuum-ripened cheese. Cheese ripened in brine had a lower content of almost all investigated macro- and microelements. After 60 days of ripening, in cheese ripened in brine only myristic (C14:0) and palmitic acid (C16:0) were detected, whereas in the vacuum-ripened cheese C10:0-C16:0 fatty acids dominated. Vacuum-ripened reduced-fat cheese had more favourable reducing power, while white brined reduced-fat cheese had better radical scavenging activity and iron(II) chelating activity. Novelty and scientific contribution These results suggest significant influence of ripening conditions (immersion in brine or in vacuum-sealed polyethylene bags) on nutritive and functional properties of reduced-fat white cheese. Ripening in a vacuum has become a useful method for obtaining high-value reduced-fat white cheese.

Abstract In the Teaching and Learning International Survey (TALIS), instructional leadership is measured by the self-reports of principals on three items only. When this measure is investigated together with teacher satisfaction with current work environment, no significant associations were found in the Nordic countries participating in the TALIS 2013 round. This paper argues that a potential reason for this might be the severely underrepresented construct of instructional leadership. As an alternative approach, teacher data from the same study are used to establish two important dimensions of instructional leadership at the school level: 1) managing the instructional program and 2) developing the school learning climate. Applying multilevel structural equation modelling (MSEM), we establish two shared cluster constructs at the school level and observe significant modest relationships between these constructs and teacher job satisfaction with current work environment. The paper brings to our attention the different approaches for interpreting, exploring, and making sense of instructional leadership in international large-scale studies, such as TALIS, from the joint perspective of teachers.

Abstract Lavender and immortelle essential oils (EOs) are widely used to treat a spectrum of human conditions. The aim of this study was to investigate cyto/genotoxic effects of lavender and immortelle EOs using plant cells (Allium cepa) and human lymphocytes, as well as their antimicrobial potential using nine strains of bacteria and fungi. Our results for lavender and immortelle EOs showed that the frequency of chromosome aberrations (CAs) was increased in comparison with controls. For both oils, increased frequency of apoptosis for all concentrations, as well as the frequency of necrosis (0.10/0.30 µl/ml for lavender/immortelle, respectively) was demonstrated. In human lymphocytes, differences for minute fragments between immortelle oil (0.10 µl/ml) and controls were observed. Increased frequency of apoptosis was detected for immortelle oil (0.20 µl/ml), while both oils (0.20; 0.30 µl/ml lavender, and immortelle at all concentrations) induced higher frequency of necrosis in comparison with controls. Lavender EO was effective against all tested Gram-positive and Gram-negative bacteria, while immortelle EO inhibited only Gram-positive bacteria. Both oils exhibited antifungal effect. Our results demonstrated that lavender and immortelle EOs showed cyto/genotoxic effects in both, plant and human cells, as well as antimicrobial properties. Further studies are needed to strengthen these findings.